Digital Health Multilingual Ontology to Index Teaching Resources.
The aim of this paper is to present the use of Medical Informatics Multilingual Ontology (MIMO) to index digital health resources that are (and will be) included in SaNuRN (project to teach digital health). MIMO currently contains 1,379 concepts and is integrated into HeTOP, which is a cross-lingual multiterminogy server. Existing teaching resources have been reindexed with MIMO concepts and integrated into a dedicated website. A total of 345 resources have been indexed with MIMO concepts and are freely available at https://doccismef.chu-rouen.fr/dc/#env=sanurn. The development of a multilingual MIMO for enhancing the quality and the efficiency of international projects is challenging. A specific semantic search engine has been deployed to give access to digital health teaching resources.
Duke Scholars
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Related Subject Headings
- Semantics
- Search Engine
- Multilingualism
- Medical Informatics
- Medical Informatics
- 4601 Applied computing
- 4203 Health services and systems
- 1117 Public Health and Health Services
- 0807 Library and Information Studies
Citation
Published In
DOI
EISSN
ISSN
Publication Date
Volume
Start / End Page
Related Subject Headings
- Semantics
- Search Engine
- Multilingualism
- Medical Informatics
- Medical Informatics
- 4601 Applied computing
- 4203 Health services and systems
- 1117 Public Health and Health Services
- 0807 Library and Information Studies